Developing a SNOMED CT–Based Value Set to Document Symptoms and Diagnoses for Adverse Drug Events: Mixed Methods Study
This study developed a SNOMED CT-based value set to document symptoms and diagnoses for ADEs observed in adults in EMRs. Adopting this value set can improve the consistency, accuracy, and interoperability of ADE documentation in EMRs, helping to reduce repeat ADEs and enhance patient safety. Ongoing refinement and improved clinical usability are essential for its widespread adoption. Future research should assess the impact of integrating this value set into EMRs on ADE reporting, pharmacovigilance, and patient safety outcomes.
Authors
- Susan Buchkowsky
- Erica Y. Lau (ORCID: https://orcid.org/0000-0003-4156-6038)
- Anthony Lau (ORCID: https://orcid.org/0000-0001-7643-9405)
- Katherine Butcher (ORCID: https://orcid.org/0009-0004-2050-5361)
- Corinne M. Hohl (ORCID: https://orcid.org/0000-0002-9210-7838)
- Kira Gossack‐Keenan (ORCID: https://orcid.org/0000-0002-7631-1652)
- Cheryl A Sadowski (ORCID: https://orcid.org/0000-0002-4526-7054)
- Linda Bird
- Yau-Lam Alex Chau (ORCID: https://orcid.org/0000-0002-8071-1237)
Institutions
- Vancouver Coastal Health (CA)
- University of British Columbia (CA)
- University of Alberta (CA)
- University of Victoria (CA)
- Surrey Memorial Hospital (CA)
- Spinal Cord Injury BC (CA)
- Vancouver General Hospital (CA)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2025-03-27
- DOI
- https://doi.org/10.2196/70167
- Primary Topic
- Pharmacovigilance and Adverse Drug Reactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00